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Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark


Jun 23, 2022
Hendrik Borras, Giuseppe Di Guglielmo, Javier Duarte, Nicolò Ghielmetti, Ben Hawks, Scott Hauck, Shih-Chieh Hsu, Ryan Kastner, Jason Liang, Andres Meza, Jules Muhizi, Tai Nguyen, Rushil Roy, Nhan Tran, Yaman Umuroglu, Olivia Weng, Aidan Yokuda, Michaela Blott

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* 15 pages, 7 figures, Contribution to 3rd Workshop on Benchmarking Machine Learning Workloads on Emerging Hardware (MLBench) at 5th Conference on Machine Learning and Systems (MLSys) 

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QONNX: Representing Arbitrary-Precision Quantized Neural Networks


Jun 17, 2022
Alessandro Pappalardo, Yaman Umuroglu, Michaela Blott, Jovan Mitrevski, Ben Hawks, Nhan Tran, Vladimir Loncar, Sioni Summers, Hendrik Borras, Jules Muhizi, Matthew Trahms, Shih-Chieh Hsu, Scott Hauck, Javier Duarte

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* 9 pages, 5 figures, Contribution to 4th Workshop on Accelerated Machine Learning (AccML) at HiPEAC 2022 Conference 

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EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators


Feb 04, 2022
Lois Orosa, Skanda Koppula, Yaman Umuroglu, Konstantinos Kanellopoulos, Juan Gomez-Luna, Michaela Blott, Kees Vissers, Onur Mutlu

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Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference


Feb 22, 2021
Benjamin Hawks, Javier Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu

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* 22 pages, 7 Figures, 1 Table 

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LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications


Apr 06, 2020
Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott

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Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic


Jun 26, 2018
Michaela Blott, Thomas B. Preusser, Nicholas Fraser, Giulio Gambardella, Kenneth OBrien, Yaman Umuroglu, Miriam Leeser

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Streamlined Deployment for Quantized Neural Networks


May 30, 2018
Yaman Umuroglu, Magnus Jahre

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* Presented at the International Workshop on Highly Efficient Neural Networks Design (HENND) co-located with CASES'17 

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Scaling Binarized Neural Networks on Reconfigurable Logic


Jan 27, 2017
Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Leong, Magnus Jahre, Kees Vissers

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* To appear in the PARMA-DITAM workshop at HiPEAC 2017, January 2017 

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FINN: A Framework for Fast, Scalable Binarized Neural Network Inference


Dec 01, 2016
Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Leong, Magnus Jahre, Kees Vissers

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* To appear in the 25th International Symposium on Field-Programmable Gate Arrays, February 2017 

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